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Provable Benefits of Multi-task RL under Non-Markovian Decision Making
  Processes

Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes

20 October 2023
Ruiquan Huang
Yuan-Chia Cheng
Jing Yang
Vincent Tan
Yingbin Liang
ArXivPDFHTML

Papers citing "Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes"

4 / 4 papers shown
Title
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
48
121
0
17 Jan 2024
Partially Observable RL with B-Stability: Unified Structural Condition
  and Sharp Sample-Efficient Algorithms
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
Fan Chen
Yu Bai
Song Mei
48
22
0
29 Sep 2022
Provably Efficient Reinforcement Learning in Partially Observable
  Dynamical Systems
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
OffRL
45
31
0
24 Jun 2022
Provable General Function Class Representation Learning in Multitask
  Bandits and MDPs
Provable General Function Class Representation Learning in Multitask Bandits and MDPs
Rui Lu
Andrew Zhao
S. Du
Gao Huang
OffRL
27
10
0
31 May 2022
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